Python OpenCV利用笔记本摄像头实现人脸检测

pip install --user opencv-python

#导入opencv模块
import cv2
#捕捉帧，笔记本摄像头设置为0即可
capture = cv2.VideoCapture(0)
#循环显示帧
while(True):
 ret, frame = capture.read()
 #显示窗口第一个参数是窗口名，第二个参数是内容
 cv2.imshow('frame', frame)
 if cv2.waitKey(1) == ord('q'):#按Q退出
 break

import cv2
import numpy as np
face_cascade = cv2.CascadeClassifier("C:\ProgramData\Anaconda3\Lib\site-packages\cv2\data\haarcascade_frontalface_default.xml")
eye_cascade = cv2.CascadeClassifier("C:\ProgramData\Anaconda3\Lib\site-packages\cv2\data\haarcascade_eye.xml")
cap=cv2.VideoCapture(0)
 
while True:
 ret,img=cap.read()
 gray=cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)
 faces = face_cascade.detectMultiScale(gray,1.1,5)
 if len(faces)>0:
 for faceRect in faces:
 x,y,w,h = faceRect
 cv2.rectangle(img,(x,y),(x+w,y+h),(255,0,0),2)
 roi_gray = gray[y:y+h//2,x:x+w]
 roi_color = img[y:y+h//2,x:x+w]
 eyes = eye_cascade.detectMultiScale(roi_gray,1.1,1,cv2.CASCADE_SCALE_IMAGE,(2,2))
 for (ex,ey,ew,eh) in eyes:
 cv2.rectangle(roi_color,(ex,ey),(ex+ew,ey+eh),(0,255,0),2)
 cv2.imshow("img",img)
 if cv2.waitKey(1) & 0xFF == ord('q'):
 break

pip install --user opencv-python

pip3 install --user opencv-python

sudo find / -iname "*haarcascade_frontalface_default.xml*"

import cv2
import numpy as np
face_cascade = cv2.CascadeClassifier("/home/yukino/.local/lib/python2.7/site-packages/cv2/data/haarcascade_frontalface_default.xml")
eye_cascade = cv2.CascadeClassifier("/home/yukino/.local/lib/python2.7/site-packages/cv2/data/haarcascade_eye.xml")
cap=cv2.VideoCapture(0)
 
while True:
 ret,img=cap.read()
 gray=cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)
 faces = face_cascade.detectMultiScale(gray,1.1,5)
 if len(faces)>0:
 for faceRect in faces:
 x,y,w,h = faceRect
 cv2.rectangle(img,(x,y),(x+w,y+h),(255,0,0),2)
 roi_gray = gray[y:y+h//2,x:x+w]
 roi_color = img[y:y+h//2,x:x+w]
 eyes = eye_cascade.detectMultiScale(roi_gray,1.1,1,cv2.CASCADE_SCALE_IMAGE,(2,2))
 for (ex,ey,ew,eh) in eyes:
 cv2.rectangle(roi_color,(ex,ey),(ex+ew,ey+eh),(0,255,0),2)
 cv2.imshow("img",img)
 if cv2.waitKey(1) & 0xFF == ord('q'):
 break